function [Result] = Ddavid_call_SVM_testing_single_label(AllDataTesting, TrueLabelTesting)

N = size(AllDataTesting, 1);

AllDataTesting_sparse = sparse(AllDataTesting);

libsvmwrite('Data.test', TrueLabelTesting, AllDataTesting_sparse);
system('D:\School\Meeting\Program\Matlab\Toolbox\libsvm-weights-3.18\svm-predict.exe -b 1 Data.test Data.model Data.txt');
    
fid = fopen('Data.txt', 'r');
Cells = textscan(fid, '%f %f %f', 'Headerlines', 1);
if(isnan(Cells{3}(1)))
    Result = zeros(N, 1);
else
    Result = Cells{2};
end
fclose(fid);
